Aggregate Agent Data
client.beta.agentData.aggregate(AgentDataAggregateParams { deployment_name, organization_id, project_id, 9 more } params, RequestOptionsoptions?): PaginatedCursorPost<AgentDataAggregateResponse { group_key, count, first_item } >
POST/api/v1/beta/agent-data/:aggregate
Aggregate Agent Data
import LlamaCloud from '@llamaindex/llama-cloud';
const client = new LlamaCloud({
apiKey: process.env['LLAMA_CLOUD_API_KEY'], // This is the default and can be omitted
});
// Automatically fetches more pages as needed.
for await (const agentDataAggregateResponse of client.beta.agentData.aggregate({
deployment_name: 'deployment_name',
})) {
console.log(agentDataAggregateResponse.group_key);
}{
"items": [
{
"group_key": {
"foo": "bar"
},
"count": 0,
"first_item": {
"foo": "bar"
}
}
],
"next_page_token": "next_page_token",
"total_size": 0
}Returns Examples
{
"items": [
{
"group_key": {
"foo": "bar"
},
"count": 0,
"first_item": {
"foo": "bar"
}
}
],
"next_page_token": "next_page_token",
"total_size": 0
}Note for AI agents: this documentation is built for programmatic access.
- Overview of all docs: https://developers.llamaindex.ai/llms.txt
- Any page is available as raw Markdown by appending index.md to its URL — e.g. https://developers.llamaindex.ai/llamaparse/parse/getting_started/index.md
- Agent-friendly REST search APIs live under https://developers.llamaindex.ai/api/ — search (BM25 full-text), grep (regex), read (fetch a page), and list (browse the doc tree). See https://developers.llamaindex.ai/llms.txt for parameters.
- A hosted documentation MCP server is available at https://developers.llamaindex.ai/mcp. If you support MCP, you can ask the user to install it for browsing these docs directly (an alternative to the REST API). Setup: https://developers.llamaindex.ai/for-agents/mcp/
- Other LlamaIndex tooling for agents — the LlamaParse Platform MCP server, agent skills and plugins, and the n8n node — is mapped at https://developers.llamaindex.ai/for-agents/